Dataset statistics
| Number of variables | 25 |
|---|---|
| Number of observations | 3953 |
| Missing cells | 1047 |
| Missing cells (%) | 1.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 772.2 KiB |
| Average record size in memory | 200.0 B |
Variable types
| Categorical | 15 |
|---|---|
| Numeric | 10 |
Name has a high cardinality: 3682 distinct values | High cardinality |
Email ID has a high cardinality: 3373 distinct values | High cardinality |
Dt_Applied has a high cardinality: 3953 distinct values | High cardinality |
University has a high cardinality: 3140 distinct values | High cardinality |
Zip Code has a high cardinality: 615 distinct values | High cardinality |
Loan Amnt is highly correlated with Funded amnt inv and 2 other fields | High correlation |
Funded amnt inv is highly correlated with Loan Amnt and 2 other fields | High correlation |
INSTALLMENT is highly correlated with Loan Amnt and 2 other fields | High correlation |
Total Paymnt is highly correlated with Loan Amnt and 2 other fields | High correlation |
Loan Amnt is highly correlated with Funded amnt inv and 2 other fields | High correlation |
Funded amnt inv is highly correlated with Loan Amnt and 2 other fields | High correlation |
INSTALLMENT is highly correlated with Loan Amnt and 2 other fields | High correlation |
Total Paymnt is highly correlated with Loan Amnt and 2 other fields | High correlation |
Loan Amnt is highly correlated with Funded amnt inv and 2 other fields | High correlation |
Funded amnt inv is highly correlated with Loan Amnt and 2 other fields | High correlation |
INSTALLMENT is highly correlated with Loan Amnt and 2 other fields | High correlation |
Total Paymnt is highly correlated with Loan Amnt and 2 other fields | High correlation |
INSTALLMENT is highly correlated with Total Paymnt and 2 other fields | High correlation |
Sub Grade is highly correlated with TERM and 2 other fields | High correlation |
Total Paymnt is highly correlated with INSTALLMENT and 3 other fields | High correlation |
Funded amnt inv is highly correlated with INSTALLMENT and 4 other fields | High correlation |
Loan Amnt is highly correlated with INSTALLMENT and 4 other fields | High correlation |
Verification Status is highly correlated with Funded amnt inv and 1 other fields | High correlation |
TERM is highly correlated with Sub Grade and 5 other fields | High correlation |
GRADE is highly correlated with Sub Grade and 2 other fields | High correlation |
Int Rate is highly correlated with Sub Grade and 2 other fields | High correlation |
TERM is highly correlated with GRADE and 1 other fields | High correlation |
GRADE is highly correlated with TERM and 1 other fields | High correlation |
Sub Grade is highly correlated with TERM and 1 other fields | High correlation |
Name has 271 (6.9%) missing values | Missing |
Email ID has 580 (14.7%) missing values | Missing |
Gender has 78 (2.0%) missing values | Missing |
University has 118 (3.0%) missing values | Missing |
Name is uniformly distributed | Uniform |
Email ID is uniformly distributed | Uniform |
Dt_Applied is uniformly distributed | Uniform |
University is uniformly distributed | Uniform |
Dt_Applied has unique values | Unique |
Delinq 2Yrs has 3628 (91.8%) zeros | Zeros |
Inq Last 6Mths has 1822 (46.1%) zeros | Zeros |
Revol Bal has 42 (1.1%) zeros | Zeros |
Reproduction
| Analysis started | 2021-06-30 14:59:56.903909 |
|---|---|
| Analysis finished | 2021-06-30 15:00:15.090285 |
| Duration | 18.19 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 3682 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 271 |
| Missing (%) | 6.9% |
| Memory size | 31.0 KiB |
| Stormy Gerauld | 1 |
|---|---|
| Perkin Gomersall | 1 |
| Aviva Cody | 1 |
| Rusty Netley | 1 |
| Egbert Huegett | 1 |
| Other values (3677) |
Length
| Max length | 23 |
|---|---|
| Median length | 14 |
| Mean length | 14.03286257 |
| Min length | 7 |
Characters and Unicode
| Total characters | 51669 |
|---|---|
| Distinct characters | 58 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3682 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Calley Giron |
|---|---|
| 2nd row | Linus Stud |
| 3rd row | Lorelle Ambage |
| 4th row | Anna-diane Larrat |
| 5th row | Gill Ruske |
Common Values
| Value | Count | Frequency (%) |
| Stormy Gerauld | 1 | < 0.1% |
| Perkin Gomersall | 1 | < 0.1% |
| Aviva Cody | 1 | < 0.1% |
| Rusty Netley | 1 | < 0.1% |
| Egbert Huegett | 1 | < 0.1% |
| Elvis Farden | 1 | < 0.1% |
| Ilka Exer | 1 | < 0.1% |
| Starlin Aidler | 1 | < 0.1% |
| Clerissa Branchett | 1 | < 0.1% |
| Dicky McGunley | 1 | < 0.1% |
| Other values (3672) | 3672 | |
| (Missing) | 271 | 6.9% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| de | 20 | 0.3% |
| le | 6 | 0.1% |
| dee | 5 | 0.1% |
| van | 5 | 0.1% |
| kerry | 4 | 0.1% |
| salomo | 4 | 0.1% |
| derril | 4 | 0.1% |
| gill | 4 | 0.1% |
| glad | 4 | 0.1% |
| imogen | 4 | 0.1% |
| Other values (6460) | 7355 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 5280 | 10.2% |
| a | 4505 | 8.7% |
| 3733 | 7.2% | |
| n | 3525 | 6.8% |
| i | 3500 | 6.8% |
| r | 3444 | 6.7% |
| l | 3183 | 6.2% |
| o | 2704 | 5.2% |
| t | 2023 | 3.9% |
| s | 1723 | 3.3% |
| Other values (48) | 18049 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 40336 | |
| Uppercase Letter | 7550 | 14.6% |
| Space Separator | 3733 | 7.2% |
| Other Punctuation | 35 | 0.1% |
| Dash Punctuation | 14 | < 0.1% |
| Close Punctuation | 1 | < 0.1% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 678 | 9.0% |
| M | 600 | 7.9% |
| B | 596 | 7.9% |
| S | 573 | 7.6% |
| D | 479 | 6.3% |
| A | 451 | 6.0% |
| G | 443 | 5.9% |
| R | 400 | 5.3% |
| L | 395 | 5.2% |
| H | 326 | 4.3% |
| Other values (16) | 2609 |
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 5280 | |
| a | 4505 | |
| n | 3525 | 8.7% |
| i | 3500 | 8.7% |
| r | 3444 | 8.5% |
| l | 3183 | 7.9% |
| o | 2704 | 6.7% |
| t | 2023 | 5.0% |
| s | 1723 | 4.3% |
| d | 1395 | 3.5% |
| Other values (16) | 9054 |
Other Punctuation
| Value | Count | Frequency (%) |
| ' | 32 | |
| . | 2 | 5.7% |
| ; | 1 | 2.9% |
Space Separator
| Value | Count | Frequency (%) |
| 3733 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 14 |
Close Punctuation
| Value | Count | Frequency (%) |
| ] | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 47886 | |
| Common | 3783 | 7.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 5280 | 11.0% |
| a | 4505 | 9.4% |
| n | 3525 | 7.4% |
| i | 3500 | 7.3% |
| r | 3444 | 7.2% |
| l | 3183 | 6.6% |
| o | 2704 | 5.6% |
| t | 2023 | 4.2% |
| s | 1723 | 3.6% |
| d | 1395 | 2.9% |
| Other values (42) | 16604 |
Common
| Value | Count | Frequency (%) |
| 3733 | ||
| ' | 32 | 0.8% |
| - | 14 | 0.4% |
| . | 2 | 0.1% |
| ] | 1 | < 0.1% |
| ; | 1 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 51669 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 5280 | 10.2% |
| a | 4505 | 8.7% |
| 3733 | 7.2% | |
| n | 3525 | 6.8% |
| i | 3500 | 6.8% |
| r | 3444 | 6.7% |
| l | 3183 | 6.2% |
| o | 2704 | 5.2% |
| t | 2023 | 3.9% |
| s | 1723 | 3.3% |
| Other values (48) | 18049 |
| Distinct | 3373 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 580 |
| Missing (%) | 14.7% |
| Memory size | 31.0 KiB |
| lstud1@washington.edu | 1 |
|---|---|
| tveregan4t@tamu.edu | 1 |
| tdilnotfp@aol.com | 1 |
| ndoughty3w@google.com.br | 1 |
| ebrownfieldn0@php.net | 1 |
| Other values (3368) |
Length
| Max length | 35 |
|---|---|
| Median length | 22 |
| Mean length | 21.83308627 |
| Min length | 11 |
Characters and Unicode
| Total characters | 73643 |
|---|---|
| Distinct characters | 39 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3373 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | cgiron0@ehow.com |
|---|---|
| 2nd row | lstud1@washington.edu |
| 3rd row | lambage2@wix.com |
| 4th row | alarrat3@economist.com |
| 5th row | emacfaul5@theatlantic.com |
Common Values
| Value | Count | Frequency (%) |
| lstud1@washington.edu | 1 | < 0.1% |
| tveregan4t@tamu.edu | 1 | < 0.1% |
| tdilnotfp@aol.com | 1 | < 0.1% |
| ndoughty3w@google.com.br | 1 | < 0.1% |
| ebrownfieldn0@php.net | 1 | < 0.1% |
| jfleetwood1m@google.com | 1 | < 0.1% |
| knormington1@amazon.co.uk | 1 | < 0.1% |
| cmillmoebf@arizona.edu | 1 | < 0.1% |
| lmccahey5s@addthis.com | 1 | < 0.1% |
| lclauspo@networksolutions.com | 1 | < 0.1% |
| Other values (3363) | 3363 | |
| (Missing) | 580 | 14.7% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| falywen26@columbia.edu | 1 | < 0.1% |
| rlagem3@fda.gov | 1 | < 0.1% |
| tdilnotfp@aol.com | 1 | < 0.1% |
| ndoughty3w@google.com.br | 1 | < 0.1% |
| ebrownfieldn0@php.net | 1 | < 0.1% |
| jfleetwood1m@google.com | 1 | < 0.1% |
| knormington1@amazon.co.uk | 1 | < 0.1% |
| cmillmoebf@arizona.edu | 1 | < 0.1% |
| lmccahey5s@addthis.com | 1 | < 0.1% |
| lclauspo@networksolutions.com | 1 | < 0.1% |
| Other values (3363) | 3363 |
Most occurring characters
| Value | Count | Frequency (%) |
| o | 6259 | 8.5% |
| e | 5765 | 7.8% |
| c | 4676 | 6.3% |
| a | 4491 | 6.1% |
| m | 4076 | 5.5% |
| . | 3699 | 5.0% |
| r | 3657 | 5.0% |
| n | 3612 | 4.9% |
| i | 3589 | 4.9% |
| @ | 3373 | 4.6% |
| Other values (29) | 30446 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 64215 | |
| Other Punctuation | 7072 | 9.6% |
| Decimal Number | 2273 | 3.1% |
| Dash Punctuation | 83 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| o | 6259 | 9.7% |
| e | 5765 | 9.0% |
| c | 4676 | 7.3% |
| a | 4491 | 7.0% |
| m | 4076 | 6.3% |
| r | 3657 | 5.7% |
| n | 3612 | 5.6% |
| i | 3589 | 5.6% |
| l | 3340 | 5.2% |
| s | 3154 | 4.9% |
| Other values (16) | 21596 |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 265 | |
| 1 | 260 | |
| 3 | 260 | |
| 6 | 243 | |
| 4 | 243 | |
| 8 | 239 | |
| 5 | 227 | |
| 9 | 215 | |
| 7 | 210 | |
| 0 | 111 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 3699 | |
| @ | 3373 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 83 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 64215 | |
| Common | 9428 | 12.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| o | 6259 | 9.7% |
| e | 5765 | 9.0% |
| c | 4676 | 7.3% |
| a | 4491 | 7.0% |
| m | 4076 | 6.3% |
| r | 3657 | 5.7% |
| n | 3612 | 5.6% |
| i | 3589 | 5.6% |
| l | 3340 | 5.2% |
| s | 3154 | 4.9% |
| Other values (16) | 21596 |
Common
| Value | Count | Frequency (%) |
| . | 3699 | |
| @ | 3373 | |
| 2 | 265 | 2.8% |
| 1 | 260 | 2.8% |
| 3 | 260 | 2.8% |
| 6 | 243 | 2.6% |
| 4 | 243 | 2.6% |
| 8 | 239 | 2.5% |
| 5 | 227 | 2.4% |
| 9 | 215 | 2.3% |
| Other values (3) | 404 | 4.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 73643 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| o | 6259 | 8.5% |
| e | 5765 | 7.8% |
| c | 4676 | 6.3% |
| a | 4491 | 6.1% |
| m | 4076 | 5.5% |
| . | 3699 | 5.0% |
| r | 3657 | 5.0% |
| n | 3612 | 4.9% |
| i | 3589 | 4.9% |
| @ | 3373 | 4.6% |
| Other values (29) | 30446 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 78 |
| Missing (%) | 2.0% |
| Memory size | 31.0 KiB |
| Male | |
|---|---|
| Female |
Length
| Max length | 6 |
|---|---|
| Median length | 4 |
| Mean length | 4.983225806 |
| Min length | 4 |
Characters and Unicode
| Total characters | 19310 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Female |
|---|---|
| 2nd row | Male |
| 3rd row | Female |
| 4th row | Female |
| 5th row | Female |
Common Values
| Value | Count | Frequency (%) |
| Male | 1970 | |
| Female | 1905 | |
| (Missing) | 78 | 2.0% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| male | 1970 | |
| female | 1905 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 5780 | |
| a | 3875 | |
| l | 3875 | |
| M | 1970 | 10.2% |
| F | 1905 | 9.9% |
| m | 1905 | 9.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 15435 | |
| Uppercase Letter | 3875 | 20.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 5780 | |
| a | 3875 | |
| l | 3875 | |
| m | 1905 | 12.3% |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 1970 | |
| F | 1905 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 19310 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 5780 | |
| a | 3875 | |
| l | 3875 | |
| M | 1970 | 10.2% |
| F | 1905 | 9.9% |
| m | 1905 | 9.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 19310 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 5780 | |
| a | 3875 | |
| l | 3875 | |
| M | 1970 | 10.2% |
| F | 1905 | 9.9% |
| m | 1905 | 9.9% |
| Distinct | 3953 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.0 KiB |
| 07/03/91 | 1 |
|---|---|
| 14/02/89 | 1 |
| 19/11/84 | 1 |
| 14/10/83 | 1 |
| 15/05/83 | 1 |
| Other values (3948) |
Length
| Max length | 8 |
|---|---|
| Median length | 8 |
| Mean length | 8 |
| Min length | 8 |
Characters and Unicode
| Total characters | 31624 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3953 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 01/01/81 |
|---|---|
| 2nd row | 02/01/81 |
| 3rd row | 03/01/81 |
| 4th row | 04/01/81 |
| 5th row | 05/01/81 |
Common Values
| Value | Count | Frequency (%) |
| 07/03/91 | 1 | < 0.1% |
| 14/02/89 | 1 | < 0.1% |
| 19/11/84 | 1 | < 0.1% |
| 14/10/83 | 1 | < 0.1% |
| 15/05/83 | 1 | < 0.1% |
| 06/05/87 | 1 | < 0.1% |
| 13/11/84 | 1 | < 0.1% |
| 05/11/89 | 1 | < 0.1% |
| 11/08/88 | 1 | < 0.1% |
| 11/10/91 | 1 | < 0.1% |
| Other values (3943) | 3943 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 07/03/91 | 1 | < 0.1% |
| 14/02/89 | 1 | < 0.1% |
| 19/11/84 | 1 | < 0.1% |
| 14/10/83 | 1 | < 0.1% |
| 15/05/83 | 1 | < 0.1% |
| 06/05/87 | 1 | < 0.1% |
| 13/11/84 | 1 | < 0.1% |
| 05/11/89 | 1 | < 0.1% |
| 11/08/88 | 1 | < 0.1% |
| 11/10/91 | 1 | < 0.1% |
| Other values (3943) | 3943 |
Most occurring characters
| Value | Count | Frequency (%) |
| / | 7906 | |
| 0 | 5259 | |
| 8 | 4381 | |
| 1 | 4020 | |
| 2 | 2664 | 8.4% |
| 9 | 1744 | 5.5% |
| 3 | 1288 | 4.1% |
| 5 | 1096 | 3.5% |
| 7 | 1096 | 3.5% |
| 4 | 1085 | 3.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 23718 | |
| Other Punctuation | 7906 | 25.0% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 5259 | |
| 8 | 4381 | |
| 1 | 4020 | |
| 2 | 2664 | |
| 9 | 1744 | 7.4% |
| 3 | 1288 | 5.4% |
| 5 | 1096 | 4.6% |
| 7 | 1096 | 4.6% |
| 4 | 1085 | 4.6% |
| 6 | 1085 | 4.6% |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 7906 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 31624 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| / | 7906 | |
| 0 | 5259 | |
| 8 | 4381 | |
| 1 | 4020 | |
| 2 | 2664 | 8.4% |
| 9 | 1744 | 5.5% |
| 3 | 1288 | 4.1% |
| 5 | 1096 | 3.5% |
| 7 | 1096 | 3.5% |
| 4 | 1085 | 3.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 31624 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| / | 7906 | |
| 0 | 5259 | |
| 8 | 4381 | |
| 1 | 4020 | |
| 2 | 2664 | 8.4% |
| 9 | 1744 | 5.5% |
| 3 | 1288 | 4.1% |
| 5 | 1096 | 3.5% |
| 7 | 1096 | 3.5% |
| 4 | 1085 | 3.4% |
| Distinct | 3140 |
|---|---|
| Distinct (%) | 81.9% |
| Missing | 118 |
| Missing (%) | 3.0% |
| Memory size | 31.0 KiB |
| Tampere Polytechnic | 4 |
|---|---|
| Fukuoka Institute of Technology | 4 |
| Jiangxi University of Traditional Chinese Medicine | 4 |
| Arab Open University | 4 |
| Abant Izzet Baysal University | 4 |
| Other values (3135) |
Length
| Max length | 114 |
|---|---|
| Median length | 29 |
| Mean length | 30.49152542 |
| Min length | 11 |
Characters and Unicode
| Total characters | 116935 |
|---|---|
| Distinct characters | 98 |
| Distinct categories | 11 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 4 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2542 ? |
|---|---|
| Unique (%) | 66.3% |
Sample
| 1st row | Warner Southern College |
|---|---|
| 2nd row | Shri Lal Bahadur Shastri Rashtriya Sanskrit Vidyapeetha |
| 3rd row | Technische Universität Bergakademie Freiberg |
| 4th row | Divine Word College of Legazpi |
| 5th row | East China Jiao Tong University |
Common Values
| Value | Count | Frequency (%) |
| Tampere Polytechnic | 4 | 0.1% |
| Fukuoka Institute of Technology | 4 | 0.1% |
| Jiangxi University of Traditional Chinese Medicine | 4 | 0.1% |
| Arab Open University | 4 | 0.1% |
| Abant Izzet Baysal University | 4 | 0.1% |
| Phillips Graduate Institute | 4 | 0.1% |
| Stavropol State Technical University | 4 | 0.1% |
| Universidad de Congreso | 4 | 0.1% |
| Universidad Valle del Momboy | 4 | 0.1% |
| Carlow College | 4 | 0.1% |
| Other values (3130) | 3795 | |
| (Missing) | 118 | 3.0% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| university | 2142 | 14.3% |
| of | 1144 | 7.6% |
| college | 544 | 3.6% |
| de | 397 | 2.7% |
| universidad | 307 | 2.0% |
| state | 274 | 1.8% |
| institute | 220 | 1.5% |
| and | 197 | 1.3% |
| technology | 195 | 1.3% |
| 113 | 0.8% | |
| Other values (3562) | 9447 |
Most occurring characters
| Value | Count | Frequency (%) |
| 11198 | 9.6% | |
| i | 10758 | 9.2% |
| e | 10464 | 8.9% |
| n | 8336 | 7.1% |
| a | 7981 | 6.8% |
| t | 6906 | 5.9% |
| r | 6300 | 5.4% |
| o | 6107 | 5.2% |
| s | 5789 | 5.0% |
| l | 4376 | 3.7% |
| Other values (88) | 38720 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 91706 | |
| Uppercase Letter | 13156 | 11.3% |
| Space Separator | 11198 | 9.6% |
| Other Punctuation | 508 | 0.4% |
| Dash Punctuation | 186 | 0.2% |
| Open Punctuation | 79 | 0.1% |
| Close Punctuation | 79 | 0.1% |
| Decimal Number | 19 | < 0.1% |
| Control | 2 | < 0.1% |
| Initial Punctuation | 1 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 10758 | |
| e | 10464 | |
| n | 8336 | 9.1% |
| a | 7981 | 8.7% |
| t | 6906 | 7.5% |
| r | 6300 | 6.9% |
| o | 6107 | 6.7% |
| s | 5789 | 6.3% |
| l | 4376 | 4.8% |
| y | 3155 | 3.4% |
| Other values (37) | 21534 |
Uppercase Letter
| Value | Count | Frequency (%) |
| U | 2851 | |
| S | 1352 | |
| C | 1236 | 9.4% |
| A | 857 | 6.5% |
| M | 785 | 6.0% |
| T | 762 | 5.8% |
| I | 708 | 5.4% |
| N | 522 | 4.0% |
| P | 492 | 3.7% |
| B | 422 | 3.2% |
| Other values (19) | 3169 |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 7 | |
| 7 | 3 | |
| 9 | 2 | 10.5% |
| 4 | 2 | 10.5% |
| 5 | 2 | 10.5% |
| 3 | 1 | 5.3% |
| 2 | 1 | 5.3% |
| 8 | 1 | 5.3% |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 200 | |
| . | 106 | |
| ' | 91 | |
| " | 62 | 12.2% |
| & | 35 | 6.9% |
| / | 14 | 2.8% |
Control
| Value | Count | Frequency (%) |
| | 1 | |
| | 1 |
Space Separator
| Value | Count | Frequency (%) |
| 11198 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 186 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 79 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 79 |
Initial Punctuation
| Value | Count | Frequency (%) |
| “ | 1 |
Final Punctuation
| Value | Count | Frequency (%) |
| ” | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 104862 | |
| Common | 12073 | 10.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 10758 | 10.3% |
| e | 10464 | 10.0% |
| n | 8336 | 7.9% |
| a | 7981 | 7.6% |
| t | 6906 | 6.6% |
| r | 6300 | 6.0% |
| o | 6107 | 5.8% |
| s | 5789 | 5.5% |
| l | 4376 | 4.2% |
| y | 3155 | 3.0% |
| Other values (66) | 34690 |
Common
| Value | Count | Frequency (%) |
| 11198 | ||
| , | 200 | 1.7% |
| - | 186 | 1.5% |
| . | 106 | 0.9% |
| ' | 91 | 0.8% |
| ( | 79 | 0.7% |
| ) | 79 | 0.7% |
| " | 62 | 0.5% |
| & | 35 | 0.3% |
| / | 14 | 0.1% |
| Other values (12) | 23 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 116357 | |
| Latin 1 Sup | 569 | 0.5% |
| Latin Ext A | 7 | < 0.1% |
| Punctuation | 2 | < 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 11198 | 9.6% | |
| i | 10758 | 9.2% |
| e | 10464 | 9.0% |
| n | 8336 | 7.2% |
| a | 7981 | 6.9% |
| t | 6906 | 5.9% |
| r | 6300 | 5.4% |
| o | 6107 | 5.2% |
| s | 5789 | 5.0% |
| l | 4376 | 3.8% |
| Other values (60) | 38142 |
Latin 1 Sup
| Value | Count | Frequency (%) |
| é | 211 | |
| ó | 90 | |
| ä | 65 | 11.4% |
| ü | 59 | 10.4% |
| á | 43 | 7.6% |
| í | 33 | 5.8% |
| è | 11 | 1.9% |
| ñ | 9 | 1.6% |
| ç | 9 | 1.6% |
| ú | 8 | 1.4% |
| Other values (12) | 31 | 5.4% |
Punctuation
| Value | Count | Frequency (%) |
| “ | 1 | |
| ” | 1 |
Latin Ext A
| Value | Count | Frequency (%) |
| č | 4 | |
| Š | 1 | 14.3% |
| ı | 1 | 14.3% |
| ž | 1 | 14.3% |
| Distinct | 434 |
|---|---|
| Distinct (%) | 11.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13017.49937 |
| Minimum | 1000 |
|---|---|
| Maximum | 35000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.0 KiB |
Quantile statistics
| Minimum | 1000 |
|---|---|
| 5-th percentile | 3000 |
| Q1 | 6500 |
| median | 12000 |
| Q3 | 17625 |
| 95-th percentile | 30000 |
| Maximum | 35000 |
| Range | 34000 |
| Interquartile range (IQR) | 11125 |
Descriptive statistics
| Standard deviation | 8155.330342 |
|---|---|
| Coefficient of variation (CV) | 0.6264897821 |
| Kurtosis | 0.3258532123 |
| Mean | 13017.49937 |
| Median Absolute Deviation (MAD) | 5500 |
| Skewness | 0.9233128761 |
| Sum | 51458175 |
| Variance | 66509412.98 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 12000 | 315 | 8.0% |
| 10000 | 259 | 6.6% |
| 15000 | 190 | 4.8% |
| 20000 | 174 | 4.4% |
| 6000 | 165 | 4.2% |
| 5000 | 153 | 3.9% |
| 35000 | 143 | 3.6% |
| 8000 | 124 | 3.1% |
| 16000 | 99 | 2.5% |
| 25000 | 97 | 2.5% |
| Other values (424) | 2234 |
| Value | Count | Frequency (%) |
| 1000 | 21 | |
| 1100 | 1 | < 0.1% |
| 1200 | 9 | |
| 1300 | 2 | 0.1% |
| 1325 | 1 | < 0.1% |
| 1400 | 3 | 0.1% |
| 1450 | 2 | 0.1% |
| 1500 | 11 | |
| 1600 | 6 | 0.2% |
| 1700 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 35000 | 143 | |
| 34475 | 1 | < 0.1% |
| 34000 | 2 | 0.1% |
| 33950 | 1 | < 0.1% |
| 33600 | 2 | 0.1% |
| 33425 | 1 | < 0.1% |
| 33000 | 1 | < 0.1% |
| 32875 | 1 | < 0.1% |
| 32275 | 1 | < 0.1% |
| 32000 | 3 | 0.1% |
| Distinct | 828 |
|---|---|
| Distinct (%) | 20.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12809.79216 |
| Minimum | 750 |
|---|---|
| Maximum | 35000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.0 KiB |
Quantile statistics
| Minimum | 750 |
|---|---|
| 5-th percentile | 3000 |
| Q1 | 6500 |
| median | 11775 |
| Q3 | 17000 |
| 95-th percentile | 29735 |
| Maximum | 35000 |
| Range | 34250 |
| Interquartile range (IQR) | 10500 |
Descriptive statistics
| Standard deviation | 7935.907682 |
|---|---|
| Coefficient of variation (CV) | 0.619518848 |
| Kurtosis | 0.3951370723 |
| Mean | 12809.79216 |
| Median Absolute Deviation (MAD) | 5275 |
| Skewness | 0.9263171893 |
| Sum | 50637108.41 |
| Variance | 62978630.74 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 12000 | 249 | 6.3% |
| 10000 | 222 | 5.6% |
| 6000 | 153 | 3.9% |
| 5000 | 143 | 3.6% |
| 15000 | 139 | 3.5% |
| 8000 | 113 | 2.9% |
| 7000 | 87 | 2.2% |
| 3000 | 74 | 1.9% |
| 20000 | 72 | 1.8% |
| 14000 | 64 | 1.6% |
| Other values (818) | 2637 |
| Value | Count | Frequency (%) |
| 750 | 1 | < 0.1% |
| 1000 | 20 | |
| 1100 | 1 | < 0.1% |
| 1200 | 9 | |
| 1300 | 2 | 0.1% |
| 1325 | 1 | < 0.1% |
| 1400 | 3 | 0.1% |
| 1450 | 2 | 0.1% |
| 1500 | 11 | |
| 1600 | 6 | 0.2% |
| Value | Count | Frequency (%) |
| 35000 | 37 | |
| 34997.35245 | 1 | < 0.1% |
| 34993.65539 | 1 | < 0.1% |
| 34987.98452 | 1 | < 0.1% |
| 34987.27101 | 1 | < 0.1% |
| 34977.34674 | 1 | < 0.1% |
| 34975.81636 | 1 | < 0.1% |
| 34975 | 14 | 0.4% |
| 34972.8295 | 1 | < 0.1% |
| 34972.50393 | 1 | < 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.0 KiB |
| 36 months | |
|---|---|
| 60 months |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 39530 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 36 months |
|---|---|
| 2nd row | 60 months |
| 3rd row | 36 months |
| 4th row | 36 months |
| 5th row | 60 months |
Common Values
| Value | Count | Frequency (%) |
| 36 months | 2687 | |
| 60 months | 1266 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| months | 3953 | |
| 36 | 2687 | |
| 60 | 1266 | 16.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 7906 | ||
| 6 | 3953 | |
| m | 3953 | |
| o | 3953 | |
| n | 3953 | |
| t | 3953 | |
| h | 3953 | |
| s | 3953 | |
| 3 | 2687 | 6.8% |
| 0 | 1266 | 3.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 23718 | |
| Space Separator | 7906 | 20.0% |
| Decimal Number | 7906 | 20.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| m | 3953 | |
| o | 3953 | |
| n | 3953 | |
| t | 3953 | |
| h | 3953 | |
| s | 3953 |
Decimal Number
| Value | Count | Frequency (%) |
| 6 | 3953 | |
| 3 | 2687 | |
| 0 | 1266 | 16.0% |
Space Separator
| Value | Count | Frequency (%) |
| 7906 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 23718 | |
| Common | 15812 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| m | 3953 | |
| o | 3953 | |
| n | 3953 | |
| t | 3953 | |
| h | 3953 | |
| s | 3953 |
Common
| Value | Count | Frequency (%) |
| 7906 | ||
| 6 | 3953 | |
| 3 | 2687 | 17.0% |
| 0 | 1266 | 8.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 39530 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 7906 | ||
| 6 | 3953 | |
| m | 3953 | |
| o | 3953 | |
| n | 3953 | |
| t | 3953 | |
| h | 3953 | |
| s | 3953 | |
| 3 | 2687 | 6.8% |
| 0 | 1266 | 3.2% |
| Distinct | 35 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1296908677 |
| Minimum | 0.06 |
|---|---|
| Maximum | 0.241 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.0 KiB |
Quantile statistics
| Minimum | 0.06 |
|---|---|
| 5-th percentile | 0.066 |
| Q1 | 0.099 |
| median | 0.127 |
| Q3 | 0.16 |
| 95-th percentile | 0.203 |
| Maximum | 0.241 |
| Range | 0.181 |
| Interquartile range (IQR) | 0.061 |
Descriptive statistics
| Standard deviation | 0.04160931484 |
|---|---|
| Coefficient of variation (CV) | 0.3208345782 |
| Kurtosis | -0.6951924625 |
| Mean | 0.1296908677 |
| Median Absolute Deviation (MAD) | 0.033 |
| Skewness | 0.226416223 |
| Sum | 512.668 |
| Variance | 0.001731335081 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=35)
| Value | Count | Frequency (%) |
| 0.117 | 324 | 8.2% |
| 0.079 | 259 | 6.6% |
| 0.127 | 259 | 6.6% |
| 0.124 | 254 | 6.4% |
| 0.135 | 231 | 5.8% |
| 0.143 | 226 | 5.7% |
| 0.107 | 213 | 5.4% |
| 0.099 | 211 | 5.3% |
| 0.089 | 198 | 5.0% |
| 0.06 | 160 | 4.0% |
| Other values (25) | 1618 |
| Value | Count | Frequency (%) |
| 0.06 | 160 | |
| 0.066 | 156 | |
| 0.075 | 137 | |
| 0.079 | 259 | |
| 0.089 | 198 | |
| 0.099 | 211 | |
| 0.107 | 213 | |
| 0.117 | 324 | |
| 0.124 | 254 | |
| 0.127 | 259 |
| Value | Count | Frequency (%) |
| 0.241 | 2 | 0.1% |
| 0.239 | 6 | 0.2% |
| 0.235 | 6 | 0.2% |
| 0.231 | 4 | 0.1% |
| 0.227 | 6 | 0.2% |
| 0.224 | 15 | 0.4% |
| 0.221 | 19 | |
| 0.217 | 24 | |
| 0.213 | 28 | |
| 0.209 | 39 |
| Distinct | 1923 |
|---|---|
| Distinct (%) | 48.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 375.2073362 |
| Minimum | 32.23 |
|---|---|
| Maximum | 1283.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.0 KiB |
Quantile statistics
| Minimum | 32.23 |
|---|---|
| 5-th percentile | 93.88 |
| Q1 | 205.86 |
| median | 336 |
| Q3 | 494.59 |
| 95-th percentile | 813.626 |
| Maximum | 1283.5 |
| Range | 1251.27 |
| Interquartile range (IQR) | 288.73 |
Descriptive statistics
| Standard deviation | 220.261152 |
|---|---|
| Coefficient of variation (CV) | 0.5870385006 |
| Kurtosis | 0.8900854243 |
| Mean | 375.2073362 |
| Median Absolute Deviation (MAD) | 140.06 |
| Skewness | 0.9837168213 |
| Sum | 1483194.6 |
| Variance | 48514.9751 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 330.76 | 27 | 0.7% |
| 396.92 | 25 | 0.6% |
| 325.74 | 22 | 0.6% |
| 386.7 | 21 | 0.5% |
| 339.31 | 20 | 0.5% |
| 334.16 | 19 | 0.5% |
| 322.25 | 19 | 0.5% |
| 343.09 | 18 | 0.5% |
| 190.52 | 18 | 0.5% |
| 368.45 | 17 | 0.4% |
| Other values (1913) | 3747 |
| Value | Count | Frequency (%) |
| 32.23 | 1 | < 0.1% |
| 32.58 | 2 | |
| 33.08 | 2 | |
| 33.55 | 1 | < 0.1% |
| 33.94 | 3 | |
| 34.31 | 1 | < 0.1% |
| 34.5 | 3 | |
| 34.8 | 2 | |
| 35.14 | 1 | < 0.1% |
| 35.31 | 4 |
| Value | Count | Frequency (%) |
| 1283.5 | 1 | < 0.1% |
| 1276.6 | 1 | < 0.1% |
| 1269.73 | 1 | < 0.1% |
| 1243.85 | 1 | < 0.1% |
| 1222.03 | 1 | < 0.1% |
| 1203.66 | 1 | < 0.1% |
| 1200.82 | 2 | 0.1% |
| 1157.66 | 1 | < 0.1% |
| 1142.94 | 1 | < 0.1% |
| 1140.07 | 5 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.0 KiB |
| B | |
|---|---|
| A | |
| C | |
| D | |
| E | |
| Other values (2) |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3953 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | B |
|---|---|
| 2nd row | C |
| 3rd row | C |
| 4th row | C |
| 5th row | B |
Common Values
| Value | Count | Frequency (%) |
| B | 1262 | |
| A | 908 | |
| C | 811 | |
| D | 510 | |
| E | 313 | 7.9% |
| F | 125 | 3.2% |
| G | 24 | 0.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| b | 1262 | |
| a | 908 | |
| c | 811 | |
| d | 510 | |
| e | 313 | 7.9% |
| f | 125 | 3.2% |
| g | 24 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| B | 1262 | |
| A | 908 | |
| C | 811 | |
| D | 510 | |
| E | 313 | 7.9% |
| F | 125 | 3.2% |
| G | 24 | 0.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 3953 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| B | 1262 | |
| A | 908 | |
| C | 811 | |
| D | 510 | |
| E | 313 | 7.9% |
| F | 125 | 3.2% |
| G | 24 | 0.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3953 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| B | 1262 | |
| A | 908 | |
| C | 811 | |
| D | 510 | |
| E | 313 | 7.9% |
| F | 125 | 3.2% |
| G | 24 | 0.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3953 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| B | 1262 | |
| A | 908 | |
| C | 811 | |
| D | 510 | |
| E | 313 | 7.9% |
| F | 125 | 3.2% |
| G | 24 | 0.6% |
| Distinct | 35 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.0 KiB |
| B3 | |
|---|---|
| B5 | 260 |
| A4 | 259 |
| B4 | 254 |
| C1 | 231 |
| Other values (30) |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 7906 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | B2 |
|---|---|
| 2nd row | C4 |
| 3rd row | C5 |
| 4th row | C1 |
| 5th row | B5 |
Common Values
| Value | Count | Frequency (%) |
| B3 | 324 | 8.2% |
| B5 | 260 | 6.6% |
| A4 | 259 | 6.6% |
| B4 | 254 | 6.4% |
| C1 | 231 | 5.8% |
| C2 | 227 | 5.7% |
| B2 | 213 | 5.4% |
| B1 | 211 | 5.3% |
| A5 | 198 | 5.0% |
| A1 | 158 | 4.0% |
| Other values (25) | 1618 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| b3 | 324 | 8.2% |
| b5 | 260 | 6.6% |
| a4 | 259 | 6.6% |
| b4 | 254 | 6.4% |
| c1 | 231 | 5.8% |
| c2 | 227 | 5.7% |
| b2 | 213 | 5.4% |
| b1 | 211 | 5.3% |
| a5 | 198 | 5.0% |
| a1 | 158 | 4.0% |
| Other values (25) | 1618 |
Most occurring characters
| Value | Count | Frequency (%) |
| B | 1262 | |
| A | 908 | |
| 2 | 832 | |
| C | 811 | |
| 4 | 806 | |
| 3 | 803 | |
| 1 | 797 | |
| 5 | 715 | |
| D | 510 | |
| E | 313 | 4.0% |
| Other values (2) | 149 | 1.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 3953 | |
| Decimal Number | 3953 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| B | 1262 | |
| A | 908 | |
| C | 811 | |
| D | 510 | |
| E | 313 | 7.9% |
| F | 125 | 3.2% |
| G | 24 | 0.6% |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 832 | |
| 4 | 806 | |
| 3 | 803 | |
| 1 | 797 | |
| 5 | 715 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3953 | |
| Common | 3953 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| B | 1262 | |
| A | 908 | |
| C | 811 | |
| D | 510 | |
| E | 313 | 7.9% |
| F | 125 | 3.2% |
| G | 24 | 0.6% |
Common
| Value | Count | Frequency (%) |
| 2 | 832 | |
| 4 | 806 | |
| 3 | 803 | |
| 1 | 797 | |
| 5 | 715 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7906 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| B | 1262 | |
| A | 908 | |
| 2 | 832 | |
| C | 811 | |
| 4 | 806 | |
| 3 | 803 | |
| 1 | 797 | |
| 5 | 715 | |
| D | 510 | |
| E | 313 | 4.0% |
| Other values (2) | 149 | 1.9% |
Home Ownership
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.0 KiB |
| RENT | |
|---|---|
| MORTGAGE | |
| OWN |
Length
| Max length | 8 |
|---|---|
| Median length | 4 |
| Mean length | 5.521123198 |
| Min length | 3 |
Characters and Unicode
| Total characters | 21825 |
|---|---|
| Distinct characters | 9 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | RENT |
|---|---|
| 2nd row | RENT |
| 3rd row | RENT |
| 4th row | RENT |
| 5th row | RENT |
Common Values
| Value | Count | Frequency (%) |
| RENT | 2081 | |
| MORTGAGE | 1577 | |
| OWN | 295 | 7.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| rent | 2081 | |
| mortgage | 1577 | |
| own | 295 | 7.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| R | 3658 | |
| E | 3658 | |
| T | 3658 | |
| G | 3154 | |
| N | 2376 | |
| O | 1872 | |
| M | 1577 | |
| A | 1577 | |
| W | 295 | 1.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 21825 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| R | 3658 | |
| E | 3658 | |
| T | 3658 | |
| G | 3154 | |
| N | 2376 | |
| O | 1872 | |
| M | 1577 | |
| A | 1577 | |
| W | 295 | 1.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 21825 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| R | 3658 | |
| E | 3658 | |
| T | 3658 | |
| G | 3154 | |
| N | 2376 | |
| O | 1872 | |
| M | 1577 | |
| A | 1577 | |
| W | 295 | 1.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 21825 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| R | 3658 | |
| E | 3658 | |
| T | 3658 | |
| G | 3154 | |
| N | 2376 | |
| O | 1872 | |
| M | 1577 | |
| A | 1577 | |
| W | 295 | 1.4% |
Annual Inc
Real number (ℝ≥0)
| Distinct | 813 |
|---|---|
| Distinct (%) | 20.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 66175.97354 |
| Minimum | 8280 |
|---|---|
| Maximum | 550000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.0 KiB |
Quantile statistics
| Minimum | 8280 |
|---|---|
| 5-th percentile | 25000 |
| Q1 | 40100 |
| median | 57000 |
| Q3 | 80000 |
| 95-th percentile | 135880 |
| Maximum | 550000 |
| Range | 541720 |
| Interquartile range (IQR) | 39900 |
Descriptive statistics
| Standard deviation | 40498.80417 |
|---|---|
| Coefficient of variation (CV) | 0.6119865264 |
| Kurtosis | 18.71426089 |
| Mean | 66175.97354 |
| Median Absolute Deviation (MAD) | 18000 |
| Skewness | 3.058200935 |
| Sum | 261593623.4 |
| Variance | 1640153139 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 60000 | 154 | 3.9% |
| 50000 | 149 | 3.8% |
| 75000 | 120 | 3.0% |
| 40000 | 120 | 3.0% |
| 45000 | 114 | 2.9% |
| 70000 | 96 | 2.4% |
| 30000 | 93 | 2.4% |
| 80000 | 93 | 2.4% |
| 65000 | 88 | 2.2% |
| 35000 | 82 | 2.1% |
| Other values (803) | 2844 |
| Value | Count | Frequency (%) |
| 8280 | 1 | < 0.1% |
| 8400 | 1 | < 0.1% |
| 9600 | 1 | < 0.1% |
| 9960 | 1 | < 0.1% |
| 10000 | 1 | < 0.1% |
| 11000 | 1 | < 0.1% |
| 11340 | 1 | < 0.1% |
| 11820 | 1 | < 0.1% |
| 12000 | 8 | |
| 12252 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 550000 | 1 | < 0.1% |
| 525000 | 1 | < 0.1% |
| 408000 | 1 | < 0.1% |
| 400000 | 2 | 0.1% |
| 365000 | 1 | < 0.1% |
| 350000 | 1 | < 0.1% |
| 325000 | 1 | < 0.1% |
| 300000 | 5 | |
| 290000 | 1 | < 0.1% |
| 281000 | 1 | < 0.1% |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.0 KiB |
| Verified | |
|---|---|
| Not Verified | |
| Source Verified |
Length
| Max length | 15 |
|---|---|
| Median length | 12 |
| Mean length | 11.37085758 |
| Min length | 8 |
Characters and Unicode
| Total characters | 44949 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Verified |
|---|---|
| 2nd row | Source Verified |
| 3rd row | Not Verified |
| 4th row | Source Verified |
| 5th row | Source Verified |
Common Values
| Value | Count | Frequency (%) |
| Verified | 1515 | |
| Not Verified | 1247 | |
| Source Verified | 1191 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| verified | 3953 | |
| not | 1247 | 19.5% |
| source | 1191 | 18.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 9097 | |
| i | 7906 | |
| r | 5144 | |
| V | 3953 | |
| f | 3953 | |
| d | 3953 | |
| o | 2438 | 5.4% |
| 2438 | 5.4% | |
| N | 1247 | 2.8% |
| t | 1247 | 2.8% |
| Other values (3) | 3573 | 7.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 36120 | |
| Uppercase Letter | 6391 | 14.2% |
| Space Separator | 2438 | 5.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 9097 | |
| i | 7906 | |
| r | 5144 | |
| f | 3953 | |
| d | 3953 | |
| o | 2438 | 6.7% |
| t | 1247 | 3.5% |
| u | 1191 | 3.3% |
| c | 1191 | 3.3% |
Uppercase Letter
| Value | Count | Frequency (%) |
| V | 3953 | |
| N | 1247 | 19.5% |
| S | 1191 | 18.6% |
Space Separator
| Value | Count | Frequency (%) |
| 2438 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 42511 | |
| Common | 2438 | 5.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 9097 | |
| i | 7906 | |
| r | 5144 | |
| V | 3953 | |
| f | 3953 | |
| d | 3953 | |
| o | 2438 | 5.7% |
| N | 1247 | 2.9% |
| t | 1247 | 2.9% |
| S | 1191 | 2.8% |
| Other values (2) | 2382 | 5.6% |
Common
| Value | Count | Frequency (%) |
| 2438 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 44949 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 9097 | |
| i | 7906 | |
| r | 5144 | |
| V | 3953 | |
| f | 3953 | |
| d | 3953 | |
| o | 2438 | 5.4% |
| 2438 | 5.4% | |
| N | 1247 | 2.8% |
| t | 1247 | 2.8% |
| Other values (3) | 3573 | 7.9% |
Loan Writeoff
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.0 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3953 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 3275 | |
| 1 | 678 | 17.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 3275 | |
| 1 | 678 | 17.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 3275 | |
| 1 | 678 | 17.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3953 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 3275 | |
| 1 | 678 | 17.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3953 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 3275 | |
| 1 | 678 | 17.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3953 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 3275 | |
| 1 | 678 | 17.2% |
PURPOSE
Categorical
| Distinct | 13 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.0 KiB |
| debt_consolidation | |
|---|---|
| credit_card | |
| other | |
| home_improvement | 196 |
| small_business | 145 |
| Other values (8) |
Length
| Max length | 18 |
|---|---|
| Median length | 18 |
| Mean length | 14.28307614 |
| Min length | 3 |
Characters and Unicode
| Total characters | 56461 |
|---|---|
| Distinct characters | 22 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | credit_card |
|---|---|
| 2nd row | car |
| 3rd row | small_business |
| 4th row | other |
| 5th row | other |
Common Values
| Value | Count | Frequency (%) |
| debt_consolidation | 2102 | |
| credit_card | 792 | 20.0% |
| other | 297 | 7.5% |
| home_improvement | 196 | 5.0% |
| small_business | 145 | 3.7% |
| major_purchase | 100 | 2.5% |
| car | 90 | 2.3% |
| wedding | 63 | 1.6% |
| medical | 52 | 1.3% |
| moving | 39 | 1.0% |
| Other values (3) | 77 | 1.9% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| debt_consolidation | 2102 | |
| credit_card | 792 | 20.0% |
| other | 297 | 7.5% |
| home_improvement | 196 | 5.0% |
| small_business | 145 | 3.7% |
| major_purchase | 100 | 2.5% |
| car | 90 | 2.3% |
| wedding | 63 | 1.6% |
| medical | 52 | 1.3% |
| moving | 39 | 1.0% |
| Other values (3) | 77 | 1.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| o | 7205 | |
| d | 5966 | |
| i | 5525 | |
| t | 5523 | |
| n | 4693 | |
| e | 4206 | |
| c | 3962 | |
| a | 3455 | 6.1% |
| _ | 3341 | 5.9% |
| s | 2819 | 5.0% |
| Other values (12) | 9766 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 53120 | |
| Connector Punctuation | 3341 | 5.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| o | 7205 | |
| d | 5966 | |
| i | 5525 | |
| t | 5523 | |
| n | 4693 | |
| e | 4206 | |
| c | 3962 | |
| a | 3455 | |
| s | 2819 | 5.3% |
| l | 2450 | 4.6% |
| Other values (11) | 7316 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 3341 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 53120 | |
| Common | 3341 | 5.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| o | 7205 | |
| d | 5966 | |
| i | 5525 | |
| t | 5523 | |
| n | 4693 | |
| e | 4206 | |
| c | 3962 | |
| a | 3455 | |
| s | 2819 | 5.3% |
| l | 2450 | 4.6% |
| Other values (11) | 7316 |
Common
| Value | Count | Frequency (%) |
| _ | 3341 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 56461 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| o | 7205 | |
| d | 5966 | |
| i | 5525 | |
| t | 5523 | |
| n | 4693 | |
| e | 4206 | |
| c | 3962 | |
| a | 3455 | 6.1% |
| _ | 3341 | 5.9% |
| s | 2819 | 5.0% |
| Other values (12) | 9766 |
| Distinct | 615 |
|---|---|
| Distinct (%) | 15.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.0 KiB |
| 900xx | 55 |
|---|---|
| 606xx | 55 |
| 100xx | 54 |
| 112xx | 50 |
| 945xx | 49 |
| Other values (610) |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Characters and Unicode
| Total characters | 19765 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 148 ? |
|---|---|
| Unique (%) | 3.7% |
Sample
| 1st row | 860xx |
|---|---|
| 2nd row | 309xx |
| 3rd row | 606xx |
| 4th row | 917xx |
| 5th row | 972xx |
Common Values
| Value | Count | Frequency (%) |
| 900xx | 55 | 1.4% |
| 606xx | 55 | 1.4% |
| 100xx | 54 | 1.4% |
| 112xx | 50 | 1.3% |
| 945xx | 49 | 1.2% |
| 070xx | 45 | 1.1% |
| 331xx | 44 | 1.1% |
| 750xx | 41 | 1.0% |
| 300xx | 41 | 1.0% |
| 113xx | 40 | 1.0% |
| Other values (605) | 3479 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 900xx | 55 | 1.4% |
| 606xx | 55 | 1.4% |
| 100xx | 54 | 1.4% |
| 112xx | 50 | 1.3% |
| 945xx | 49 | 1.2% |
| 070xx | 45 | 1.1% |
| 331xx | 44 | 1.1% |
| 750xx | 41 | 1.0% |
| 300xx | 41 | 1.0% |
| 113xx | 40 | 1.0% |
| Other values (605) | 3479 |
Most occurring characters
| Value | Count | Frequency (%) |
| x | 7906 | |
| 0 | 1903 | 9.6% |
| 1 | 1535 | 7.8% |
| 9 | 1309 | 6.6% |
| 2 | 1309 | 6.6% |
| 3 | 1269 | 6.4% |
| 7 | 1023 | 5.2% |
| 5 | 924 | 4.7% |
| 4 | 914 | 4.6% |
| 8 | 855 | 4.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 11859 | |
| Lowercase Letter | 7906 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1903 | |
| 1 | 1535 | |
| 9 | 1309 | |
| 2 | 1309 | |
| 3 | 1269 | |
| 7 | 1023 | |
| 5 | 924 | |
| 4 | 914 | |
| 8 | 855 | |
| 6 | 818 |
Lowercase Letter
| Value | Count | Frequency (%) |
| x | 7906 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 11859 | |
| Latin | 7906 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1903 | |
| 1 | 1535 | |
| 9 | 1309 | |
| 2 | 1309 | |
| 3 | 1269 | |
| 7 | 1023 | |
| 5 | 924 | |
| 4 | 914 | |
| 8 | 855 | |
| 6 | 818 |
Latin
| Value | Count | Frequency (%) |
| x | 7906 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 19765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| x | 7906 | |
| 0 | 1903 | 9.6% |
| 1 | 1535 | 7.8% |
| 9 | 1309 | 6.6% |
| 2 | 1309 | 6.6% |
| 3 | 1269 | 6.4% |
| 7 | 1023 | 5.2% |
| 5 | 924 | 4.7% |
| 4 | 914 | 4.6% |
| 8 | 855 | 4.3% |
Add State
Categorical
| Distinct | 43 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.0 KiB |
| CA | |
|---|---|
| NY | |
| FL | |
| TX | |
| NJ | 181 |
| Other values (38) |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 7906 |
|---|---|
| Distinct characters | 24 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | AZ |
|---|---|
| 2nd row | GA |
| 3rd row | IL |
| 4th row | CA |
| 5th row | OR |
Common Values
| Value | Count | Frequency (%) |
| CA | 729 | |
| NY | 372 | 9.4% |
| FL | 304 | 7.7% |
| TX | 273 | 6.9% |
| NJ | 181 | 4.6% |
| IL | 155 | 3.9% |
| GA | 146 | 3.7% |
| PA | 136 | 3.4% |
| VA | 130 | 3.3% |
| OH | 124 | 3.1% |
| Other values (33) | 1403 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| ca | 729 | |
| ny | 372 | 9.4% |
| fl | 304 | 7.7% |
| tx | 273 | 6.9% |
| nj | 181 | 4.6% |
| il | 155 | 3.9% |
| ga | 146 | 3.7% |
| pa | 136 | 3.4% |
| va | 130 | 3.3% |
| oh | 124 | 3.1% |
| Other values (33) | 1403 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 1557 | |
| C | 1032 | |
| N | 803 | |
| L | 537 | 6.8% |
| M | 413 | 5.2% |
| Y | 407 | 5.1% |
| T | 394 | 5.0% |
| O | 353 | 4.5% |
| I | 309 | 3.9% |
| F | 304 | 3.8% |
| Other values (14) | 1797 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 7906 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 1557 | |
| C | 1032 | |
| N | 803 | |
| L | 537 | 6.8% |
| M | 413 | 5.2% |
| Y | 407 | 5.1% |
| T | 394 | 5.0% |
| O | 353 | 4.5% |
| I | 309 | 3.9% |
| F | 304 | 3.8% |
| Other values (14) | 1797 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 7906 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 1557 | |
| C | 1032 | |
| N | 803 | |
| L | 537 | 6.8% |
| M | 413 | 5.2% |
| Y | 407 | 5.1% |
| T | 394 | 5.0% |
| O | 353 | 4.5% |
| I | 309 | 3.9% |
| F | 304 | 3.8% |
| Other values (14) | 1797 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7906 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 1557 | |
| C | 1032 | |
| N | 803 | |
| L | 537 | 6.8% |
| M | 413 | 5.2% |
| Y | 407 | 5.1% |
| T | 394 | 5.0% |
| O | 353 | 4.5% |
| I | 309 | 3.9% |
| F | 304 | 3.8% |
| Other values (14) | 1797 |
DTI
Real number (ℝ≥0)
| Distinct | 1961 |
|---|---|
| Distinct (%) | 49.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14.42828738 |
| Minimum | 0 |
|---|---|
| Maximum | 29.85 |
| Zeros | 3 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3.932 |
| Q1 | 9.58 |
| median | 14.45 |
| Q3 | 19.47 |
| 95-th percentile | 24.214 |
| Maximum | 29.85 |
| Range | 29.85 |
| Interquartile range (IQR) | 9.89 |
Descriptive statistics
| Standard deviation | 6.378445753 |
|---|---|
| Coefficient of variation (CV) | 0.4420792008 |
| Kurtosis | -0.7703420751 |
| Mean | 14.42828738 |
| Median Absolute Deviation (MAD) | 4.94 |
| Skewness | -0.04903565752 |
| Sum | 57035.02 |
| Variance | 40.68457022 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 11.8 | 9 | 0.2% |
| 18.63 | 8 | 0.2% |
| 20.88 | 8 | 0.2% |
| 12.48 | 7 | 0.2% |
| 9.65 | 7 | 0.2% |
| 17.67 | 7 | 0.2% |
| 19.63 | 7 | 0.2% |
| 16.4 | 7 | 0.2% |
| 16.2 | 7 | 0.2% |
| 18.84 | 7 | 0.2% |
| Other values (1951) | 3879 |
| Value | Count | Frequency (%) |
| 0 | 3 | |
| 0.02 | 2 | |
| 0.07 | 1 | < 0.1% |
| 0.2 | 1 | < 0.1% |
| 0.25 | 1 | < 0.1% |
| 0.32 | 2 | |
| 0.34 | 1 | < 0.1% |
| 0.41 | 1 | < 0.1% |
| 0.55 | 1 | < 0.1% |
| 0.57 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 29.85 | 1 | |
| 29.83 | 1 | |
| 29.73 | 1 | |
| 29.72 | 1 | |
| 29.63 | 1 | |
| 29.44 | 2 | |
| 29.36 | 1 | |
| 29.35 | 1 | |
| 29.29 | 1 | |
| 29.26 | 1 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1085251708 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 3628 |
| Zeros (%) | 91.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 1 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.4087983222 |
|---|---|
| Coefficient of variation (CV) | 3.766852606 |
| Kurtosis | 32.99870086 |
| Mean | 0.1085251708 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 4.954297207 |
| Sum | 429 |
| Variance | 0.1671160683 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 3628 | |
| 1 | 246 | 6.2% |
| 2 | 61 | 1.5% |
| 3 | 13 | 0.3% |
| 4 | 4 | 0.1% |
| 6 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 3628 | |
| 1 | 246 | 6.2% |
| 2 | 61 | 1.5% |
| 3 | 13 | 0.3% |
| 4 | 4 | 0.1% |
| 6 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 6 | 1 | < 0.1% |
| 4 | 4 | 0.1% |
| 3 | 13 | 0.3% |
| 2 | 61 | 1.5% |
| 1 | 246 | 6.2% |
| 0 | 3628 |
| Distinct | 9 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.8555527448 |
| Minimum | 0 |
|---|---|
| Maximum | 8 |
| Zeros | 1822 |
| Zeros (%) | 46.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 3 |
| Maximum | 8 |
| Range | 8 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 0.997025005 |
|---|---|
| Coefficient of variation (CV) | 1.165357731 |
| Kurtosis | 2.163689287 |
| Mean | 0.8555527448 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.26526022 |
| Sum | 3382 |
| Variance | 0.9940588606 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 0 | 1822 | |
| 1 | 1245 | |
| 2 | 584 | 14.8% |
| 3 | 265 | 6.7% |
| 4 | 21 | 0.5% |
| 5 | 10 | 0.3% |
| 6 | 3 | 0.1% |
| 7 | 2 | 0.1% |
| 8 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 1822 | |
| 1 | 1245 | |
| 2 | 584 | 14.8% |
| 3 | 265 | 6.7% |
| 4 | 21 | 0.5% |
| 5 | 10 | 0.3% |
| 6 | 3 | 0.1% |
| 7 | 2 | 0.1% |
| 8 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 8 | 1 | < 0.1% |
| 7 | 2 | 0.1% |
| 6 | 3 | 0.1% |
| 5 | 10 | 0.3% |
| 4 | 21 | 0.5% |
| 3 | 265 | 6.7% |
| 2 | 584 | 14.8% |
| 1 | 1245 | |
| 0 | 1822 |
Pub Rec
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.0 KiB |
| 0 | |
|---|---|
| 1 | 120 |
| 2 | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3953 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 3831 | |
| 1 | 120 | 3.0% |
| 2 | 2 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 3831 | |
| 1 | 120 | 3.0% |
| 2 | 2 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 3831 | |
| 1 | 120 | 3.0% |
| 2 | 2 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3953 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 3831 | |
| 1 | 120 | 3.0% |
| 2 | 2 | 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3953 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 3831 | |
| 1 | 120 | 3.0% |
| 2 | 2 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3953 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 3831 | |
| 1 | 120 | 3.0% |
| 2 | 2 | 0.1% |
| Distinct | 3672 |
|---|---|
| Distinct (%) | 92.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14367.44751 |
| Minimum | 0 |
|---|---|
| Maximum | 140967 |
| Zeros | 42 |
| Zeros (%) | 1.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1240.4 |
| Q1 | 6352 |
| median | 11449 |
| Q3 | 18151 |
| 95-th percentile | 35148.4 |
| Maximum | 140967 |
| Range | 140967 |
| Interquartile range (IQR) | 11799 |
Descriptive statistics
| Standard deviation | 13468.63453 |
|---|---|
| Coefficient of variation (CV) | 0.937441012 |
| Kurtosis | 18.01764983 |
| Mean | 14367.44751 |
| Median Absolute Deviation (MAD) | 5657 |
| Skewness | 3.322035836 |
| Sum | 56794520 |
| Variance | 181404116.1 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 42 | 1.1% |
| 8032 | 3 | 0.1% |
| 13034 | 3 | 0.1% |
| 14848 | 3 | 0.1% |
| 10980 | 3 | 0.1% |
| 6565 | 3 | 0.1% |
| 15183 | 3 | 0.1% |
| 11338 | 3 | 0.1% |
| 18467 | 3 | 0.1% |
| 8357 | 3 | 0.1% |
| Other values (3662) | 3884 |
| Value | Count | Frequency (%) |
| 0 | 42 | |
| 3 | 1 | < 0.1% |
| 6 | 1 | < 0.1% |
| 8 | 1 | < 0.1% |
| 16 | 1 | < 0.1% |
| 25 | 1 | < 0.1% |
| 33 | 1 | < 0.1% |
| 41 | 2 | 0.1% |
| 50 | 1 | < 0.1% |
| 62 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 140967 | 1 | |
| 131949 | 1 | |
| 130920 | 1 | |
| 124744 | 1 | |
| 123416 | 1 | |
| 120504 | 1 | |
| 112522 | 1 | |
| 110856 | 1 | |
| 108339 | 1 | |
| 106406 | 1 |
| Distinct | 3710 |
|---|---|
| Distinct (%) | 93.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14435.06432 |
| Minimum | 0 |
|---|---|
| Maximum | 58886.47343 |
| Zeros | 2 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2401.064047 |
| Q1 | 6614.78722 |
| median | 11907.35 |
| Q3 | 19190.68001 |
| 95-th percentile | 35788.92425 |
| Maximum | 58886.47343 |
| Range | 58886.47343 |
| Interquartile range (IQR) | 12575.89279 |
Descriptive statistics
| Standard deviation | 10492.53033 |
|---|---|
| Coefficient of variation (CV) | 0.7268779753 |
| Kurtosis | 1.593830926 |
| Mean | 14435.06432 |
| Median Absolute Deviation (MAD) | 5937.176941 |
| Skewness | 1.261678967 |
| Sum | 57061809.25 |
| Variance | 110093192.6 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 14288.76169 | 8 | 0.2% |
| 13148.13786 | 7 | 0.2% |
| 11907.34732 | 7 | 0.2% |
| 12029.45 | 7 | 0.2% |
| 11600.98 | 6 | 0.2% |
| 10956.77596 | 5 | 0.1% |
| 9011.557494 | 5 | 0.1% |
| 14288.77 | 5 | 0.1% |
| 11726.32 | 5 | 0.1% |
| 13263.96 | 5 | 0.1% |
| Other values (3700) | 3893 |
| Value | Count | Frequency (%) |
| 0 | 2 | |
| 91.39 | 1 | |
| 151.8 | 1 | |
| 165.37 | 1 | |
| 203.55 | 1 | |
| 258.46 | 1 | |
| 262.7 | 1 | |
| 309.36 | 1 | |
| 328.01 | 1 | |
| 331.83 | 1 |
| Value | Count | Frequency (%) |
| 58886.47343 | 1 | |
| 58133.3199 | 1 | |
| 58090.95207 | 1 | |
| 58071.19982 | 1 | |
| 58071.19977 | 1 | |
| 57997.27995 | 1 | |
| 57143.25996 | 1 | |
| 57117.89995 | 1 | |
| 56681.8859 | 1 | |
| 56681.88585 | 1 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Name | Email ID | Gender | Dt_Applied | University | Loan Amnt | Funded amnt inv | TERM | Int Rate | INSTALLMENT | GRADE | Sub Grade | Home Ownership | Annual Inc | Verification Status | Loan Writeoff | PURPOSE | Zip Code | Add State | DTI | Delinq 2Yrs | Inq Last 6Mths | Pub Rec | Revol Bal | Total Paymnt | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Calley Giron | cgiron0@ehow.com | Female | 01/01/81 | Warner Southern College | 5000 | 4975.0 | 36 months | 0.107 | 162.87 | B | B2 | RENT | 24000.0 | Verified | 0 | credit_card | 860xx | AZ | 27.65 | 0 | 1 | 0 | 13648 | 5863.155187 |
| 1 | Linus Stud | lstud1@washington.edu | Male | 02/01/81 | Shri Lal Bahadur Shastri Rashtriya Sanskrit Vidyapeetha | 2500 | 2500.0 | 60 months | 0.153 | 59.83 | C | C4 | RENT | 30000.0 | Source Verified | 1 | car | 309xx | GA | 1.00 | 0 | 5 | 0 | 1687 | 1014.530000 |
| 2 | Lorelle Ambage | lambage2@wix.com | Female | 03/01/81 | Technische Universität Bergakademie Freiberg | 2400 | 2400.0 | 36 months | 0.160 | 84.33 | C | C5 | RENT | 12252.0 | Not Verified | 0 | small_business | 606xx | IL | 8.72 | 0 | 2 | 0 | 2956 | 3005.666844 |
| 3 | Anna-diane Larrat | alarrat3@economist.com | Female | 04/01/81 | Divine Word College of Legazpi | 10000 | 10000.0 | 36 months | 0.135 | 339.31 | C | C1 | RENT | 49200.0 | Source Verified | 0 | other | 917xx | CA | 20.00 | 0 | 1 | 0 | 5598 | 12231.890000 |
| 4 | Gill Ruske | NaN | Female | 05/01/81 | East China Jiao Tong University | 3000 | 3000.0 | 60 months | 0.127 | 67.79 | B | B5 | RENT | 80000.0 | Source Verified | 0 | other | 972xx | OR | 17.94 | 0 | 0 | 0 | 27783 | 4066.908161 |
| 5 | Evelyn MacFaul | emacfaul5@theatlantic.com | Female | 06/01/81 | Ahmedabad University | 5000 | 5000.0 | 36 months | 0.079 | 156.46 | A | A4 | RENT | 36000.0 | Source Verified | 0 | wedding | 852xx | AZ | 11.20 | 0 | 3 | 0 | 7963 | 5632.210000 |
| 6 | Ainslie Rainard | arainard6@virginia.edu | Female | 07/01/81 | NaN | 7000 | 7000.0 | 60 months | 0.160 | 170.08 | C | C5 | RENT | 47004.0 | Not Verified | 0 | debt_consolidation | 280xx | NC | 23.51 | 0 | 1 | 0 | 17726 | 10137.840010 |
| 7 | Emmott Hamby | ehamby7@prnewswire.com | Male | 08/01/81 | Institute of Business Management | 3000 | 3000.0 | 36 months | 0.186 | 109.43 | E | E1 | RENT | 48000.0 | Source Verified | 0 | car | 900xx | CA | 5.35 | 0 | 2 | 0 | 8221 | 3939.135294 |
| 8 | Shem Toomer | stoomer8@home.pl | Male | 09/01/81 | Osaka University of Education | 5600 | 5600.0 | 60 months | 0.213 | 152.39 | F | F2 | OWN | 40000.0 | Source Verified | 1 | small_business | 958xx | CA | 5.55 | 0 | 2 | 0 | 5210 | 647.500000 |
| 9 | Giana Aberhart | gaberhart9@mozilla.com | Female | 10/01/81 | American Public University | 5375 | 5350.0 | 60 months | 0.127 | 121.45 | B | B5 | RENT | 15000.0 | Verified | 1 | other | 774xx | TX | 18.08 | 0 | 0 | 0 | 9279 | 1484.590000 |
Last rows
| Name | Email ID | Gender | Dt_Applied | University | Loan Amnt | Funded amnt inv | TERM | Int Rate | INSTALLMENT | GRADE | Sub Grade | Home Ownership | Annual Inc | Verification Status | Loan Writeoff | PURPOSE | Zip Code | Add State | DTI | Delinq 2Yrs | Inq Last 6Mths | Pub Rec | Revol Bal | Total Paymnt | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3943 | Merla Thebe | mthebeq7@cocolog-nifty.com | Female | 21/10/91 | North Eastern Hill University | 6000 | 6000.0 | 36 months | 0.163 | 211.81 | D | D1 | RENT | 39564.0 | Verified | 1 | debt_consolidation | 606xx | IL | 23.78 | 2 | 1 | 0 | 2028 | 3388.960000 |
| 3944 | Marcellina Dinneges | mdinnegesq8@infoseek.co.jp | Female | 22/10/91 | Universidade Católica de Santos | 2400 | 2400.0 | 36 months | 0.117 | 79.39 | B | B3 | RENT | 39800.0 | Not Verified | 0 | other | 303xx | GA | 14.32 | 0 | 0 | 0 | 15497 | 2836.660516 |
| 3945 | Way Symonds | wsymondsq9@mlb.com | Male | 23/10/91 | American International University West Africa | 25000 | 25000.0 | 60 months | 0.183 | 638.25 | D | D5 | MORTGAGE | 156000.0 | Source Verified | 0 | house | 944xx | CA | 5.85 | 0 | 0 | 0 | 10709 | 37936.750000 |
| 3946 | Ailene Matejka | NaN | Female | 24/10/91 | Kaya University | 20000 | 20000.0 | 36 months | 0.117 | 661.52 | B | B3 | RENT | 80700.0 | Verified | 0 | debt_consolidation | 946xx | CA | 13.67 | 0 | 1 | 0 | 7211 | 23406.523000 |
| 3947 | Samuel Overel | NaN | Male | 25/10/91 | Northwestern University | 12000 | 12000.0 | 60 months | 0.183 | 306.36 | D | D5 | MORTGAGE | 34000.0 | Not Verified | 1 | debt_consolidation | 177xx | PA | 12.56 | 0 | 0 | 0 | 6114 | 9667.950000 |
| 3948 | Corbie Creeboe | ccreeboeqc@sitemeter.com | Male | 26/10/91 | Shaheed Rajaei Teacher Training University | 12000 | 12000.0 | 36 months | 0.135 | 407.17 | C | C1 | RENT | 125000.0 | Source Verified | 0 | wedding | 086xx | NJ | 13.18 | 0 | 1 | 0 | 46286 | 14657.917650 |
| 3949 | Bobbe Ochterlonie | bochterlonieqd@ezinearticles.com | Female | 27/10/91 | Dhofar University | 15000 | 15000.0 | 36 months | 0.124 | 501.23 | B | B4 | RENT | 72000.0 | Verified | 0 | debt_consolidation | 104xx | NY | 7.47 | 0 | 1 | 0 | 12147 | 16729.253640 |
| 3950 | Corella Esposito | cespositoqe@macromedia.com | Female | 28/10/91 | University of Jan Evangelista Purkyne | 12000 | 12000.0 | 36 months | 0.060 | 365.23 | A | A1 | OWN | 48000.0 | Not Verified | 0 | debt_consolidation | 365xx | AL | 23.35 | 0 | 0 | 0 | 22385 | 13148.137860 |
| 3951 | Prince Dibdin | pdibdinqf@businessinsider.com | Male | 29/10/91 | College in Sládkovičovo | 15000 | 15000.0 | 60 months | 0.160 | 364.46 | C | C5 | RENT | 50000.0 | Verified | 1 | debt_consolidation | 907xx | CA | 18.26 | 0 | 1 | 0 | 9799 | 10883.540000 |
| 3952 | Georgette Warratt | gwarrattqg@java.com | Female | 30/10/91 | Technical University of Lublin | 15000 | 14975.0 | 60 months | 0.153 | 358.98 | C | C4 | MORTGAGE | 32976.0 | Not Verified | 1 | debt_consolidation | 177xx | PA | 17.90 | 0 | 1 | 0 | 7956 | 11704.260000 |